An AI-powered autonomous financial agent that analyzes spending behavior, predicts financial outcomes, and helps users make smarter money decisions.

🌐 Live Demo: https://moneymind-nomics.vercel.app/

🎥 Demo Video 1 : https://youtu.be/ZsrgbS3F9k8?si=vMbSXouS-KrZZmHR

🎥 Demo Video 2 (version 1.1.0) : https://youtu.be/b62I6GMT8fU?si=E3xUKIk6c08Kk0mP

MoneyMind AI is a next-generation personal finance platform designed to act like an intelligent financial advisor.

Instead of only tracking expenses, MoneyMind understands financial behavior, predicts future risks, simulates decisions, and continuously guides users toward better financial outcomes.

It combines:

• AI-driven analysis
• Predictive finance
• Behavioral insights
• Autonomous monitoring
• Real-time financial simulations

Managing money is becoming increasingly complex.

Most people:

• Don’t know where their money actually goes
• Cannot predict future financial problems
• Make emotional spending decisions
• Struggle to balance savings, goals, and lifestyle
• Lack personalized financial guidance

Traditional finance apps only show numbers. They don’t explain behavior or help users make decisions.

MoneyMind AI acts as an autonomous financial intelligence system.

It:

• Tracks spending patterns
• Detects risky financial behavior
• Predicts future expenses
• Simulates financial decisions
• Generates personalized AI insights
• Continuously monitors financial health

The platform adapts to:

• User spending habits
• Income patterns
• Financial goals
• Country-specific financial realities

• Income, spending & savings overview
• Financial Stability Score
• Smart AI-generated insights
• Savings health tracking
• Risk detection

MoneyMind analyzes user behavior patterns and generates:

• Financial personality detection
• Habit analysis
• Spending psychology insights
• Actionable improvement plans
• Estimated savings impact

Example:

"Frequent late-night impulse purchases are slowing your emergency fund growth."

Users can ask:

"Can I afford a ₹8L car?" "Should I start a ₹5000 SIP?" "Can I move to a more expensive apartment?"

MoneyMind evaluates:

• Income
• Savings
• Risk
• Goals
• Emergency runway
• Predicted future expenses

Then returns:

• Recommendation
• Risk level
• Trade-offs
• Long-term impact

MoneyMind predicts future financial conditions using:

• Spending history
• Weighted trend analysis
• Behavioral patterns
• Essential vs lifestyle spending
• Seasonal & weekend trends

Outputs include:

• Next month expense prediction
• Spending trajectory
• Financial stress indicators

Users can simulate "what-if" decisions in real time.

Examples:

• Buy a new laptop
• Start investing monthly
• Reduce food delivery spending
• Increase savings rate

MoneyMind instantly shows:

• Goal delays
• Risk increase
• Savings impact
• Financial survival months

Users can:

• Create financial goals
• Track progress
• Predict completion timelines
• Receive AI-generated recommendations

AI adapts recommendations based on:

• User income
• Spending behavior
• Country economy
• Current savings rate

MoneyMind continuously monitors finances in the background.

The autonomous worker system:

• Detects financial risks
• Generates insights
• Sends reminders
• Tracks progress
• Updates predictions automatically

Triggers include:

• 🚨 Overspending alerts
• 🎯 Goal milestones
• 📈 Savings improvements
• ⚠️ Financial risk warnings

Automated reports delivered via email:

• Spending summaries
• Financial score updates
• Personalized recommendations
• Goal progress tracking

Users can instantly explore MoneyMind without uploading personal financial data.

Demo personas include:

• 👨‍🎓 Student
• 👩‍💻 Young Professional
• 👨‍👩‍👧 Family Budget
• 🧑‍🎨 Freelancer

Each profile contains:

• Realistic financial transactions
• AI insights
• Predictions
• Goals
• Spending behaviors

User → Frontend → API Layer
→ MongoDB Storage
→ AI Engine (Gemini)
→ Background Workers
→ Predictions & Notifications

MoneyMind separates:

• Lightweight ingestion jobs
• Heavy AI analysis workers

This improves:

• Scalability
• Performance
• Cost optimization

Scheduled workers handle:

• AI analysis
• Predictions
• Weekly reports
• Goal monitoring

Without blocking user interactions.

• Next.js App Router
• React
• Tailwind CSS
• Framer Motion

• Next.js API Routes
• Node.js

• MongoDB
• Mongoose

• Google Gemini API
• Custom financial reasoning engine

• Cron workers
• Autonomous processing system

• Nodemailer

Synthetic financial datasets used for onboarding and testing.

Kaggle datasets are used here, inspired by real-world banking behavior:

• Daily Transactions Dataset
• Indian Bank Statement Dataset

Used for:

• Spending pattern analysis
• Prediction modeling
• Behavioral simulations

⚠️ All datasets are anonymized.

Dashboard_1 Dashboard_2 Dashboard_3 Dashboard_4

Add Goal

Ask Goal

Add Transaction

Analysis

Chat_1 Chat_2

Prediction

Scenario_1 Scenario_2 Scenario_3

Upload

Profile

1. Launch demo mode
2. Explore AI insights
3. Ask financial questions
4. Run simulations
5. View predictions
6. Track goals
7. Receive autonomous recommendations

GEMINI_API_KEY=
NEXTAUTH_URL="http://localhost:3000"
BASE_URL="http://localhost:3000"
NEXTAUTH_SECRET=
MONGODB_URI=
WORKER_SECRET=
GOOGLE_ACCOUNT_USER=
GOOGLE_ACCOUNT_PASS=
GOOGLE_ACCOUNT_APP_NAME=
GITHUB_OWNER=
GITHUB_REPO=
GITHUB_TOKEN=
# local variables
# Deployment used by `npx convex dev`
CONVEX_DEPLOYMENT=
NEXT_PUBLIC_CONVEX_URL=
NEXT_PUBLIC_CONVEX_SITE_URL=

git clone https://github.com/Edasgh/moneymind.git
cd moneymind
npm install
npm run dev
# for convex setup
npx convex dev

/app
 /chat
 /analyze
 /profile
 layout.tsx
 not-found.tsx
 error.tsx
 page.tsx
 favicon.ico
/api
 /register
 /auth
 /profile
 /uploadFile
 /internal/trigger_workers
 /internal/trigger_analysis
 /worker/process-statements
 /worker/analyze-finances
 /chat
 /follow-up
 /statements
 /transaction
 /goals
 /loadDemo
 /scenario
 /simulate
 /notifications
/models
 Finance.ts
 Notification.ts
 Statement.ts
 User.ts
/lib
 /ai
 /demoData
 canAfford.ts
 convertToPdf.ts
 convex.ts
 createNotification.ts
 currencyMap.ts
 db.ts
 sectionColors.ts
 simulateSavings.ts
 statementParseHelpers.ts
 triggerWorker.ts
 utils.ts
/components
 AddGoalModal
 AddTransactionModal
 AIAnalysis
 DemoAnalysis
 DemoChat
 DemoDataModal
 EditGoalModal
 EditProfileModal
 EditTransactionModal
 ExitDemoBanner
 Footer
 GamificationCard
 GoalsSection
 HowItWorks
 LifeImpactCard
 NotificationToaster
 Providers
 ScenarioEngine
 ScoreCard
 ScoreMeter
 SignInModal
 SignUpModal
 SpendingChart
 StatementsCard
 TransactionTable
 UploadStatement
/convex
 /_generated
 fileControls.ts
/hooks
 useFinance.ts
/types
 next-auth-d.ts
/screenshots
/public/favicon.svg
.env
.env.local
.gitignore

• 🏦 Bank API integrations & Secure password protected statement upload
• 📱 Mobile applications
• 📈 Advanced ML-based forecasting
• 🧾 Tax planning assistance
• 🧠 Deeper personalized coaching
• 🌍 Multi-country financial adaptation
• 💬 Voice-based financial assistant
• 📊 Advanced analytics & investment insights
• 💬 Adding User feedback form in the app itself

Built with ❤️ for real-world impact